[英]Unable to infer using Autoencoders neural network model (model.h5)
[英]Having trouble turning in Google Colab python in turning a Keras “model.h5” using TFLiteConverter.from_keras_model(“model.h5”)
在使用TFLiteConverter.from_keras_model("model.h5")
转动 Keras model.h5
时遇到问题在 Google Colab python
我正在使用 TensorFlow 2.2.0
第一次尝试脚本
import tensorflow as tf
converter = tf.lite.TFLiteConverter.from_keras_model("model.h5")
tflite_model = converter.convert()
open("Robot_Eyes.tflite", "wb").write(tflite_model)
错误得到了
AttributeError Traceback (most recent call last)
<ipython-input-22-e8e8d3a7c79e> in <module>()
13 #new_model= tf.keras.models.load_model(filepath="model.h5")
14
--->15 converter = tf.lite.TFLiteConverter.from_keras_model("model.h5")
16
17 tflite_model = converter.convert()
/usr/local/lib/python3.6/dist-packages/tensorflow/lite/python/lite.py in from_keras_model(cls, model)
426 # to None.
427 # Once we have better support for dynamic shapes, we can remove this.
-->428 if not isinstance(model.call, _def_function.Function):
429 # Pass `keep_original_batch_size=True` will ensure that we get an input
430 # signature including the batch dimension specified by the user.
AttributeError: 'str' object has no attribute 'call'
第二次尝试
import tensorflow as tf
new_model= tf.keras.models.load_model(filepath="model.h5")
converter = tf.lite.TFLiteConverter.from_keras_model(new_model)
tflite_model = converter.convert()
open("model.tflite", "wb").write(tflite_model)
第二个错误得到了
OSError Traceback (most recent call last)
<ipython-input-23-2344f7b515a1> in <module>()
11 import tensorflow as tf
12
--->13 new_model= tf.keras.models.load_model(filepath="model.h5")
14
15 converter = tf.lite.TFLiteConverter.from_keras_model(new_model)
3 frames
/usr/local/lib/python3.6/dist-packages/h5py/_hl/files.py in make_fid(name, mode, userblock_size, fapl, fcpl, swmr)
171 if swmr and swmr_support:
172 flags |= h5f.ACC_SWMR_READ
-->173 fid = h5f.open(name, flags, fapl=fapl)
174 elif mode == 'r+':
175 fid = h5f.open(name, h5f.ACC_RDWR, fapl=fapl)
h5py/_objects.pyx in h5py._objects.with_phil.wrapper()
h5py/_objects.pyx in h5py._objects.with_phil.wrapper()
h5py/h5f.pyx in h5py.h5f.open()
OSError: Unable to open file (truncated file: eof = 40894464, sblock->base_addr = 0, stored_eof = 159686248)
我不知道出了什么问题,我一直在努力解决它。 谢谢您的帮助。
让它工作
!pip install tensorflow==1.15.0
import tensorflow as tf
print(tf.__version__)
converter = tf.lite.TFLiteConverter.from_keras_model_file("robot_eyes2.h5")
tflite_model = converter.convert()
open("Robot_Eyes.tflite", "wb").write(tflite_model)
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